Description
You will develop and optimize machine learning models for document parsing, entity extraction, and information retrieval.
Responsibilities
- Develop and optimize ML models for document parsing, entity extraction, and information retrieval.
- Implement and fine-tune Generative AI models for business use cases.
- Build scalable AI pipelines for training and inference.
- Collaborate with cross-functional teams to integrate AI solutions into enterprise applications.
- Stay updated with the latest research in AI/ML and contribute to model improvements.
Required Skills
- 4+ years of experience in ML development.
- Hands-on experience with NLP, computer vision, and deep learning frameworks (TensorFlow/PyTorch).
- Experience fine-tuning transformer-based models (LLMs, VLMs) for document processing.
- Proficiency in Python and ML libraries (Hugging Face, spaCy, OpenCV).
- Knowledge of cloud platforms including AWS, Azure, and GCP.
- Familiarity with MLOps best practices.
- Strong problem-solving abilities.